1 00:00:00,640 --> 00:00:02,920 Speaker 1: I'll get at and welcome to another installment of the show. 2 00:00:03,000 --> 00:00:07,080 Speaker 1: The show that is your favorite podcast. Well maybe maybe not, 3 00:00:07,280 --> 00:00:09,760 Speaker 1: but some of you it's your favorite podcast because you 4 00:00:09,840 --> 00:00:13,160 Speaker 1: tell us and thank you. And also, if you're not 5 00:00:13,200 --> 00:00:15,600 Speaker 1: a member of the Facebook group that we have, which 6 00:00:15,640 --> 00:00:18,720 Speaker 1: is creatively called the You Project Facebook group, I know 7 00:00:18,800 --> 00:00:21,560 Speaker 1: Tiff and I worked on that for fucking weeks. We 8 00:00:21,760 --> 00:00:28,120 Speaker 1: rang David, he consulted, We had a team pr advertising, branding, marketing. 9 00:00:28,160 --> 00:00:31,560 Speaker 1: We came up with that. Feel free to get involved. 10 00:00:31,680 --> 00:00:33,639 Speaker 1: And not only is it good because it's a good community, 11 00:00:33,680 --> 00:00:37,840 Speaker 1: but David James, Kevin Patrick Gillespie writes articles and puts 12 00:00:37,840 --> 00:00:41,760 Speaker 1: some of them up there for your perusal and cognitive 13 00:00:41,880 --> 00:00:44,200 Speaker 1: and emotional and psychological digestion. 14 00:00:45,479 --> 00:00:50,240 Speaker 2: Tiff High, Hi, feel what You're on fire today? 15 00:00:51,080 --> 00:00:55,320 Speaker 1: The only Child? Pick the only Child? You know what? 16 00:00:55,480 --> 00:00:56,840 Speaker 1: Last night? Hi, David? 17 00:00:57,320 --> 00:00:58,080 Speaker 3: Hey, how's it going? 18 00:00:58,120 --> 00:01:00,760 Speaker 1: Graig good? Thank you? Last night I did a workshop 19 00:01:00,840 --> 00:01:04,520 Speaker 1: called pre Season twenty twenty five for anyway, just talking 20 00:01:04,520 --> 00:01:06,640 Speaker 1: about getting our shit together in the next year, as 21 00:01:06,680 --> 00:01:09,120 Speaker 1: we always do before the end of the current year 22 00:01:09,120 --> 00:01:15,039 Speaker 1: that we're in. But I had I shouldn't say this, 23 00:01:15,120 --> 00:01:19,000 Speaker 1: but fuck it. Whatever, little credibility I have left. I'm 24 00:01:19,000 --> 00:01:21,039 Speaker 1: just going to say to the world. Every now and then, 25 00:01:21,080 --> 00:01:23,679 Speaker 1: about once a month, I have a nicorette, two milligram 26 00:01:23,800 --> 00:01:28,000 Speaker 1: nicorette because it just wow. So last night was the night, 27 00:01:29,120 --> 00:01:32,480 Speaker 1: and I also had with me. I had a coffee 28 00:01:32,560 --> 00:01:38,440 Speaker 1: and a coke, so I had double caffeine and nicotine. 29 00:01:38,480 --> 00:01:40,280 Speaker 1: And I know a lot of my listeners are right 30 00:01:40,319 --> 00:01:43,120 Speaker 1: now disappointed. I do not smoke, don't do drugs, don't 31 00:01:43,120 --> 00:01:45,520 Speaker 1: do booze. But about once a month I have a 32 00:01:45,560 --> 00:01:46,880 Speaker 1: two milligram nickeline. 33 00:01:47,440 --> 00:01:49,360 Speaker 3: How could you fit the smoking and the booze in 34 00:01:49,440 --> 00:01:50,000 Speaker 3: with all of that? 35 00:01:50,560 --> 00:01:54,280 Speaker 1: I know, I know. Fuck. I was on fire. My 36 00:01:54,400 --> 00:01:57,760 Speaker 1: brain was just it was just the only problem was 37 00:01:57,840 --> 00:02:00,880 Speaker 1: at midnight, when I'm usually three hours into my slumber, 38 00:02:01,200 --> 00:02:06,120 Speaker 1: it's fucking noz's to be seen. Do you sleep well? 39 00:02:06,160 --> 00:02:08,320 Speaker 1: Go less bo ah? 40 00:02:08,440 --> 00:02:08,919 Speaker 3: Yeah? 41 00:02:09,040 --> 00:02:13,360 Speaker 1: Usually Do you have a particular you probably don't worry 42 00:02:13,400 --> 00:02:17,080 Speaker 1: about it because you know that I reckon two things 43 00:02:17,120 --> 00:02:18,960 Speaker 1: that we're going to get to the topic at hand. 44 00:02:19,240 --> 00:02:21,720 Speaker 1: But I reckon two things that a lot of people 45 00:02:21,760 --> 00:02:24,720 Speaker 1: don't think about because it doesn't affect them, but it 46 00:02:24,720 --> 00:02:27,560 Speaker 1: does affect a lot of people. One is a lot 47 00:02:27,560 --> 00:02:30,800 Speaker 1: of people don't sleep well, like I reckon maybe half 48 00:02:30,840 --> 00:02:34,640 Speaker 1: the population. And the other less glamorous one is that 49 00:02:34,680 --> 00:02:38,160 Speaker 1: a lot of people don't shit well. The amount of 50 00:02:38,200 --> 00:02:40,880 Speaker 1: people that are constipated that I've worked with over the 51 00:02:40,960 --> 00:02:44,200 Speaker 1: last forty years. Tif, do you do both of those? 52 00:02:44,240 --> 00:02:47,000 Speaker 3: Well? TI? For you comfortable with him revealing these things 53 00:02:47,000 --> 00:02:47,320 Speaker 3: about you? 54 00:02:47,960 --> 00:02:50,679 Speaker 2: Well, I notice that he's just gone straight to me 55 00:02:50,720 --> 00:02:53,720 Speaker 2: eat it for the public report of my bow movements 56 00:02:55,040 --> 00:02:58,480 Speaker 2: quite regularly. Quite good sleep has always been a challenge woman, 57 00:02:58,520 --> 00:03:01,200 Speaker 2: But really I've really got on top of that over 58 00:03:01,240 --> 00:03:06,280 Speaker 2: the recent times. What have you changed A strong bedtime routine. 59 00:03:06,320 --> 00:03:08,560 Speaker 2: I've got to be quite good with that. I mean, 60 00:03:08,800 --> 00:03:11,840 Speaker 2: just an early riser always. But if I don't wind 61 00:03:12,000 --> 00:03:16,639 Speaker 2: down well and have a routine and get the I've 62 00:03:16,639 --> 00:03:18,680 Speaker 2: got to be a nana. If if I'm not winding 63 00:03:18,680 --> 00:03:22,680 Speaker 2: down before ten, it is party time in my brain 64 00:03:22,880 --> 00:03:26,160 Speaker 2: until at least three am. Wine awake. 65 00:03:26,840 --> 00:03:29,160 Speaker 1: Well, don't do caffeine and nicotine before bed. 66 00:03:29,240 --> 00:03:30,560 Speaker 2: Well, that's a hard note for me. 67 00:03:30,639 --> 00:03:31,079 Speaker 3: It's hard. 68 00:03:31,480 --> 00:03:32,920 Speaker 2: It's a lunchtime cut off there. 69 00:03:34,440 --> 00:03:40,960 Speaker 3: Yeah, in general, avoid stimulants. I mean, the nicotine and 70 00:03:41,080 --> 00:03:45,280 Speaker 3: caffeine are obvious ones, but the ones people don't realize 71 00:03:45,280 --> 00:03:51,000 Speaker 3: they're taking on the electronic ones. So you play computer games, 72 00:03:51,040 --> 00:03:55,000 Speaker 3: you get on social media, you do some online gambling, 73 00:03:55,800 --> 00:03:57,120 Speaker 3: all of those things. 74 00:03:58,640 --> 00:04:01,480 Speaker 2: In short, you and the online gambling. 75 00:04:01,960 --> 00:04:04,360 Speaker 3: Yeah, yeah, yeah, And I know you quite know what 76 00:04:04,360 --> 00:04:06,840 Speaker 3: we're talking about here. But you know, Craig might you know, 77 00:04:06,960 --> 00:04:11,480 Speaker 3: don't do porn either, just just before you go to sleep. 78 00:04:12,200 --> 00:04:15,280 Speaker 3: It's all of these things give you a dopamine spike, 79 00:04:15,320 --> 00:04:17,279 Speaker 3: and it's going to make it really hard for your 80 00:04:17,320 --> 00:04:18,159 Speaker 3: brain to calm down. 81 00:04:20,160 --> 00:04:22,920 Speaker 1: Do you know what I see a lot of is 82 00:04:24,560 --> 00:04:28,400 Speaker 1: kids in the gym. Well, think about young Jamie at 83 00:04:28,400 --> 00:04:31,719 Speaker 1: the gym, tiff nearly every time you see her, the 84 00:04:31,800 --> 00:04:35,640 Speaker 1: Crabs kid. She walks into the gym every day with 85 00:04:35,720 --> 00:04:36,560 Speaker 1: a red bull. 86 00:04:36,680 --> 00:04:39,000 Speaker 2: I know, in the PM, in the PM. 87 00:04:39,480 --> 00:04:42,240 Speaker 1: Yeah, and she's not alone. And I'm not throwing her 88 00:04:42,320 --> 00:04:46,520 Speaker 1: under the bus because I would say seventy eighty percent 89 00:04:46,600 --> 00:04:49,600 Speaker 1: of the teenage kids that train in the gym they 90 00:04:49,680 --> 00:04:53,120 Speaker 1: have some kind of stimulant before they train or after 91 00:04:53,200 --> 00:04:56,440 Speaker 1: they train, or both very very and they have this 92 00:04:56,560 --> 00:04:58,240 Speaker 1: thing that you may or may not have heard of, 93 00:04:58,360 --> 00:05:02,279 Speaker 1: David called and I'm not being facetious, And there's a 94 00:05:02,320 --> 00:05:05,760 Speaker 1: whole different, bloody plethora of them. But they call them 95 00:05:05,800 --> 00:05:10,920 Speaker 1: pre workout drinks, and basically they're just stimulants, central nervous 96 00:05:10,920 --> 00:05:12,240 Speaker 1: system stimulants. 97 00:05:12,760 --> 00:05:15,720 Speaker 3: All right, so I canter coke it's. 98 00:05:15,680 --> 00:05:19,640 Speaker 1: Yeah, but times four, so it might have instead of 99 00:05:19,720 --> 00:05:23,320 Speaker 1: forty grams of caffeine, or have one hundred and sixty 100 00:05:23,360 --> 00:05:28,040 Speaker 1: grams of caffeine. I mean, crazy, crazy amounts. But yeah, 101 00:05:28,080 --> 00:05:33,640 Speaker 1: these and then I reckon the biggest consumers of those 102 00:05:33,680 --> 00:05:37,560 Speaker 1: particular energy drinks are children. Well by that, I mean 103 00:05:38,200 --> 00:05:42,880 Speaker 1: people are under twenty, you know, anyone speaking of junk food. 104 00:05:45,480 --> 00:05:47,440 Speaker 1: By the way, everyone, if you don't follow the Great Man, 105 00:05:47,520 --> 00:05:51,520 Speaker 1: please go to LinkedIn. Follow him on LinkedIn. I follow him. 106 00:05:51,600 --> 00:05:53,560 Speaker 1: I look at all the shit he puts up. It's 107 00:05:53,640 --> 00:05:56,920 Speaker 1: all good, all the time. And I'm going to be honest. 108 00:05:57,120 --> 00:05:59,920 Speaker 1: He doesn't have many followers, So give him, give him 109 00:06:00,080 --> 00:06:03,440 Speaker 1: shop out, will you. I mean, it's a little embarrassing 110 00:06:03,480 --> 00:06:06,039 Speaker 1: for how good he is. It's a bit underwhelming. So 111 00:06:06,240 --> 00:06:07,920 Speaker 1: go and follow him on that and give him a 112 00:06:07,920 --> 00:06:10,200 Speaker 1: little bit of love and say I'm here because Jumbo 113 00:06:10,240 --> 00:06:12,320 Speaker 1: told me to give you a little bit of love. Here, 114 00:06:12,360 --> 00:06:14,240 Speaker 1: I am hey. 115 00:06:14,600 --> 00:06:17,440 Speaker 3: Just before we get to the first article, we're going 116 00:06:17,440 --> 00:06:19,800 Speaker 3: to talk about coming back to the thing you said 117 00:06:19,800 --> 00:06:25,560 Speaker 3: before about bowel movements and sleep. The common thing between 118 00:06:25,600 --> 00:06:31,240 Speaker 3: those two is anxiety. So usually sleep disturbance is the 119 00:06:31,279 --> 00:06:35,120 Speaker 3: first sign. Often the studies are showing probably two to 120 00:06:35,240 --> 00:06:40,440 Speaker 3: three years prior to diagnosis, first sign of anxiety slash 121 00:06:40,480 --> 00:06:46,440 Speaker 3: depression is sleep disturbance. Bowel movements is similarly associated with anxiety. 122 00:06:46,640 --> 00:06:50,159 Speaker 3: So if you're seeing that, particularly in teenage children, so 123 00:06:50,880 --> 00:06:53,960 Speaker 3: difficulties will sleep. Now with teenage children, when you say 124 00:06:54,000 --> 00:06:57,640 Speaker 3: difficulties will sleep, it's not going to bit later, which 125 00:06:57,720 --> 00:07:00,160 Speaker 3: their brains make them do any way, by virtual being 126 00:07:00,160 --> 00:07:02,440 Speaker 3: a teenager, because there's a shift in the metabolic clock 127 00:07:03,440 --> 00:07:06,360 Speaker 3: by about two hours during teenage of them, so they 128 00:07:06,440 --> 00:07:08,680 Speaker 3: go to bed naturally two hours later than they did 129 00:07:08,720 --> 00:07:13,880 Speaker 3: when prior to puberty. But if they have trouble staying 130 00:07:13,880 --> 00:07:17,840 Speaker 3: asleep or getting to sleep sort of after eleven o'clock 131 00:07:17,880 --> 00:07:21,520 Speaker 3: at night, then it could be a sign of anxiety 132 00:07:21,560 --> 00:07:24,240 Speaker 3: and depression. This is important because of a story that 133 00:07:24,320 --> 00:07:27,320 Speaker 3: was out today in the papers. I haven't written a 134 00:07:27,320 --> 00:07:29,960 Speaker 3: piece about this one yet, Craig, but they found in 135 00:07:30,000 --> 00:07:34,840 Speaker 3: this study three quarters of Victorian teenagers have diagnosable have 136 00:07:35,040 --> 00:07:40,280 Speaker 3: had a diagnosable clinical anxiety or depression over the last 137 00:07:40,360 --> 00:07:45,360 Speaker 3: eight years. Now three quarters of a teenage population sets 138 00:07:45,400 --> 00:07:49,760 Speaker 3: a world record. There's no other study that shows that 139 00:07:49,960 --> 00:07:54,920 Speaker 3: level of anxiety and depression in teenagers in the world. 140 00:07:56,240 --> 00:07:59,600 Speaker 3: We are at the starting edge of a very, very 141 00:07:59,600 --> 00:08:02,400 Speaker 3: big of them. And we can come back and talk 142 00:08:02,400 --> 00:08:04,920 Speaker 3: about that one in a little while. But I just 143 00:08:04,920 --> 00:08:07,920 Speaker 3: thought i'd raise that because it connects those two things 144 00:08:07,920 --> 00:08:08,840 Speaker 3: that you mentioned before. 145 00:08:09,880 --> 00:08:12,520 Speaker 1: All right, we'll circle back. But I'm very I don't 146 00:08:12,520 --> 00:08:15,360 Speaker 1: know about that. I mean, I believe what you're saying, 147 00:08:15,400 --> 00:08:18,280 Speaker 1: and I believe what was written, but I don't like 148 00:08:18,360 --> 00:08:25,880 Speaker 1: that's the majority of children having diagnosable anxiety then anyway. 149 00:08:26,000 --> 00:08:28,960 Speaker 3: Eighty four percent of females between the ages of ten 150 00:08:29,000 --> 00:08:30,320 Speaker 3: and eighteen in Victoria. 151 00:08:30,960 --> 00:08:34,600 Speaker 1: Does that mean they have consistent anxiety it's a condition, 152 00:08:35,400 --> 00:08:38,680 Speaker 1: or they're teenagers and every now and then they get anxious. 153 00:08:38,800 --> 00:08:42,640 Speaker 3: Because that what they found was three distinct waves of 154 00:08:42,679 --> 00:08:47,280 Speaker 3: its three annual occurrences in that age group ten to 155 00:08:47,320 --> 00:08:53,800 Speaker 3: eighteen year olds that were met the criteria for clinical diagnosis. 156 00:08:54,320 --> 00:08:59,040 Speaker 3: So not just a bit worried, but clinical diagnosis of anxiety. 157 00:08:59,520 --> 00:09:02,839 Speaker 1: Wow. Yeah, I don't know what the solution is to that. 158 00:09:02,960 --> 00:09:06,679 Speaker 3: Obviously there is a solution, take all the devices away. 159 00:09:06,800 --> 00:09:12,200 Speaker 3: That's easy. Do you reckon It's only that I think 160 00:09:12,320 --> 00:09:14,760 Speaker 3: that's the majority of it. I mean, there's some other 161 00:09:14,800 --> 00:09:16,840 Speaker 3: things laid in on that, because the other thing that 162 00:09:16,960 --> 00:09:21,000 Speaker 3: causes the same response in the brain is not just addiction. 163 00:09:21,120 --> 00:09:27,520 Speaker 3: Remember there's also uncertainty. Well, uncertainty magnifies both addiction and danger. 164 00:09:27,880 --> 00:09:30,160 Speaker 3: But there's danger, and danger can be in the form 165 00:09:30,520 --> 00:09:34,880 Speaker 3: of addictive things, so like gambling apps that simulate danger, 166 00:09:35,080 --> 00:09:38,960 Speaker 3: or gaming apps that simulate danger, or it can be 167 00:09:39,080 --> 00:09:42,560 Speaker 3: in the form of chronic stress, like a family that 168 00:09:42,920 --> 00:09:44,680 Speaker 3: isn't sure whether there's going to be enough money to 169 00:09:44,679 --> 00:09:48,520 Speaker 3: pay the rent every week, or the COVID nineteen shut 170 00:09:48,520 --> 00:09:53,959 Speaker 3: down and lockdown things created enormous amounts of chronic stress. 171 00:09:54,840 --> 00:09:58,120 Speaker 3: But that research tried to adjust for COVID in these 172 00:09:58,200 --> 00:10:00,680 Speaker 3: numbers and found that it couldn't be a tribut to COVID. 173 00:10:01,040 --> 00:10:04,080 Speaker 3: So whilst it may well have had a contributory effect, 174 00:10:04,160 --> 00:10:07,560 Speaker 3: and all of those lockdown things could have contributed to it, 175 00:10:08,280 --> 00:10:12,520 Speaker 3: they said it was there before that happened, So that 176 00:10:12,640 --> 00:10:15,400 Speaker 3: tells you it's something much much earlier that's been going 177 00:10:15,440 --> 00:10:20,199 Speaker 3: on noting that we've only had really access to social media, 178 00:10:20,240 --> 00:10:25,880 Speaker 3: online gambling, online gaming, and ready access to pornography probably 179 00:10:25,920 --> 00:10:29,920 Speaker 3: only the last fourteen years to teenagers. So it's those 180 00:10:30,040 --> 00:10:32,600 Speaker 3: kids that we're starting to see the results from. 181 00:10:34,040 --> 00:10:38,040 Speaker 1: Just we'll come back straight away. But I remember about 182 00:10:38,559 --> 00:10:40,960 Speaker 1: three months ago or four months ago, you were talking 183 00:10:41,000 --> 00:10:43,880 Speaker 1: about this TV show called Friday Night Lights and how 184 00:10:43,920 --> 00:10:47,120 Speaker 1: the first season was two thousand and eight, and I 185 00:10:47,160 --> 00:10:50,440 Speaker 1: think the last season, which is season five, was two 186 00:10:50,480 --> 00:10:53,480 Speaker 1: thousand and twelve or thirteen something like that. Yeah, it's 187 00:10:53,520 --> 00:10:57,800 Speaker 1: five seasons, and then in between season one and season 188 00:10:57,960 --> 00:11:03,360 Speaker 1: five was the advent of smart phones. But I'm both 189 00:11:03,400 --> 00:11:06,520 Speaker 1: happy with you and mad at you because I've watched 190 00:11:06,559 --> 00:11:08,000 Speaker 1: all five seasons now. 191 00:11:09,520 --> 00:11:11,640 Speaker 3: And you enjoy it. I did it. 192 00:11:11,640 --> 00:11:16,680 Speaker 1: It's just like this simple little like it's it's about 193 00:11:16,720 --> 00:11:20,559 Speaker 1: football everyone, but it's not. It's about this town and 194 00:11:20,679 --> 00:11:23,440 Speaker 1: this coach and this family and the players, and it's 195 00:11:23,520 --> 00:11:29,560 Speaker 1: very much like a sociological exploration of relationships and connection 196 00:11:29,760 --> 00:11:33,160 Speaker 1: and adversity. And but I liked it because it's not 197 00:11:34,480 --> 00:11:41,600 Speaker 1: I don't like watching things that are scary, like like 198 00:11:42,200 --> 00:11:45,880 Speaker 1: I don't mind a bit of like action and like 199 00:11:46,040 --> 00:11:49,440 Speaker 1: war movies or but stuff that's like horror and stuff 200 00:11:49,480 --> 00:11:52,240 Speaker 1: that you know, puts my blood pressure through the roof 201 00:11:52,280 --> 00:11:55,319 Speaker 1: and then I can't fucking sleep. I like watching things 202 00:11:55,320 --> 00:11:56,800 Speaker 1: that are nice to watch. 203 00:11:57,320 --> 00:11:59,200 Speaker 3: But the thing about this show, I mean, it's not 204 00:11:59,280 --> 00:12:01,679 Speaker 3: Gilmore Girls, right, so it's not that night to watch. 205 00:12:02,640 --> 00:12:06,200 Speaker 3: Is what they tend to do in that show, and 206 00:12:06,240 --> 00:12:10,520 Speaker 3: I think they do it really, really well, is those teenagers. 207 00:12:10,640 --> 00:12:12,680 Speaker 3: And it's about kids who are you know, sort of 208 00:12:12,840 --> 00:12:17,920 Speaker 3: grade twelve age in high school. Those teenagers do just 209 00:12:18,000 --> 00:12:21,800 Speaker 3: about everything wrong, like they you know, one of them 210 00:12:21,840 --> 00:12:26,720 Speaker 3: gets pregnant, they're experimenting with drugs, they're driving illegally, they're 211 00:12:26,760 --> 00:12:30,559 Speaker 3: stealing alcohol, even someone a little more criminal than that. 212 00:12:30,920 --> 00:12:34,520 Speaker 3: And what's great about it is that it shows you 213 00:12:34,600 --> 00:12:38,920 Speaker 3: the things that were dangerous before kids had phones and 214 00:12:39,000 --> 00:12:44,320 Speaker 3: didn't need to bother. All of those all of those 215 00:12:44,360 --> 00:12:49,240 Speaker 3: things now have about halved or less in incidents since 216 00:12:49,320 --> 00:12:53,880 Speaker 3: the advent of smartphones. So risk taking, real world risk taking, 217 00:12:54,200 --> 00:12:58,079 Speaker 3: has half. There's much less team pregnancy, much less public drunkenness, 218 00:12:58,480 --> 00:13:02,360 Speaker 3: much less dangerous activity, much less law breaking. But the 219 00:13:02,480 --> 00:13:04,640 Speaker 3: reason is because the kids are all in their bedrooms 220 00:13:04,679 --> 00:13:08,559 Speaker 3: addicted to their devices and the damage there is much 221 00:13:08,600 --> 00:13:12,880 Speaker 3: more severe because now it's not a few adventurous kids 222 00:13:12,920 --> 00:13:15,520 Speaker 3: who do that, and in that show, there's a couple 223 00:13:15,840 --> 00:13:17,960 Speaker 3: or two or three that are always doing the wrong 224 00:13:18,040 --> 00:13:21,480 Speaker 3: thing and everyone else is pretty much okay. Now it's 225 00:13:21,640 --> 00:13:27,880 Speaker 3: everybody all the time using addictive devices. And what we're 226 00:13:27,920 --> 00:13:30,640 Speaker 3: seeing is that fly through because if people say, oh, well, 227 00:13:30,720 --> 00:13:33,000 Speaker 3: so what keep them busy? Shuts them up. That's what 228 00:13:33,040 --> 00:13:38,959 Speaker 3: you want from teenagers, except when it results in seventy 229 00:13:38,960 --> 00:13:42,120 Speaker 3: five percent of them having diagnosable anxiety. 230 00:13:42,760 --> 00:13:46,080 Speaker 1: Yeah. But like when I said to you, what's the solution, 231 00:13:46,200 --> 00:13:49,160 Speaker 1: you said, get rid of the devices, which theoretically, but 232 00:13:49,280 --> 00:13:52,240 Speaker 1: we know that's not going to happen. So what's the solo. 233 00:13:52,760 --> 00:13:55,160 Speaker 3: Well, the solution is call them out for what they are. 234 00:13:56,080 --> 00:13:59,960 Speaker 3: Name them so it's not the device, it's two or three, 235 00:14:00,000 --> 00:14:05,240 Speaker 3: three or four apps explicitly designed to addict humans that 236 00:14:05,280 --> 00:14:12,160 Speaker 3: are on those devices. Call them out, name them, ban them. 237 00:14:12,160 --> 00:14:14,800 Speaker 1: Well, I wonder if that's going to happen. And of course, 238 00:14:15,120 --> 00:14:19,120 Speaker 1: Victoria was I think the first state in the world 239 00:14:19,920 --> 00:14:26,600 Speaker 1: or to ban social media for kids under sixteen, and 240 00:14:26,600 --> 00:14:30,120 Speaker 1: that made kind of global headlines. So I don't know. 241 00:14:30,640 --> 00:14:34,280 Speaker 3: But the thing about that is people always say, ah, 242 00:14:34,440 --> 00:14:36,560 Speaker 3: that's not going to work that, you know, they know. 243 00:14:36,600 --> 00:14:38,320 Speaker 3: You've ever seen kids who want to get to something, 244 00:14:38,360 --> 00:14:41,040 Speaker 3: they'll get they'll find a way, and they will. But 245 00:14:42,000 --> 00:14:46,560 Speaker 3: that law makes the conversation at the breakfast table a 246 00:14:46,600 --> 00:14:49,600 Speaker 3: hell of a lot easier for a parent if they can 247 00:14:49,640 --> 00:14:53,480 Speaker 3: say no, you're not doing it because it's against the law, yes, 248 00:14:53,680 --> 00:14:56,120 Speaker 3: rather than all day arguing about it. 249 00:14:56,560 --> 00:15:02,960 Speaker 1: Yeah yeah, yeah, yeah, yeah. All right, speaking of things 250 00:15:03,000 --> 00:15:06,760 Speaker 1: that are not good for us, So you wrote or 251 00:15:06,800 --> 00:15:13,280 Speaker 1: you posted an article about ultraprocessed foods and foods that 252 00:15:13,320 --> 00:15:17,400 Speaker 1: are high in seed oils and the potential relationship with 253 00:15:17,800 --> 00:15:18,680 Speaker 1: colon cancer. 254 00:15:19,360 --> 00:15:21,840 Speaker 3: Yeah, so I don't like the term ultraprocessed foods. That's 255 00:15:21,880 --> 00:15:24,760 Speaker 3: the term the article used, But I don't like it 256 00:15:24,800 --> 00:15:27,720 Speaker 3: because just about everything we eat it's the definition of 257 00:15:27,840 --> 00:15:30,680 Speaker 3: ultra processed food. I mean, if you didn't pick the 258 00:15:30,680 --> 00:15:34,240 Speaker 3: apple yourself, or you know, chop up the cow yourself, 259 00:15:34,240 --> 00:15:40,080 Speaker 3: then it's probably pretty ultra processed. So but the point 260 00:15:40,120 --> 00:15:42,360 Speaker 3: about this study and the reason I posted it is 261 00:15:43,120 --> 00:15:45,160 Speaker 3: for a long time I've been banging on. I wrote 262 00:15:45,160 --> 00:15:47,480 Speaker 3: a book about this in I don't know twenty fourteen, 263 00:15:47,560 --> 00:15:50,200 Speaker 3: called Toxic oils, and there was a follow up a 264 00:15:50,200 --> 00:15:52,520 Speaker 3: few years later, and I've written a few other books 265 00:15:52,520 --> 00:15:56,080 Speaker 3: about it too. But the evidence has always been a 266 00:15:56,280 --> 00:16:00,840 Speaker 3: little bit inferential in the sense that it suggests that 267 00:16:00,880 --> 00:16:03,480 Speaker 3: there's a problem, it suggests there's a link to cancer, 268 00:16:03,920 --> 00:16:06,480 Speaker 3: it suggests this is probably not a good idea, but 269 00:16:06,760 --> 00:16:11,680 Speaker 3: there hasn't been loads of high quality studies linking these things. 270 00:16:11,880 --> 00:16:14,440 Speaker 3: Now I've made the linkages in my books and said 271 00:16:14,440 --> 00:16:17,200 Speaker 3: there's enough evidence there for us to call this one okay. 272 00:16:17,680 --> 00:16:21,120 Speaker 3: On the precautionary principle, we should be really really careful 273 00:16:21,200 --> 00:16:24,160 Speaker 3: about putting this stuff in our food supply, particularly in 274 00:16:24,200 --> 00:16:26,440 Speaker 3: the kinds of quantities we are. So what are we 275 00:16:26,440 --> 00:16:30,240 Speaker 3: talking about. We're talking about everything that you know. They're 276 00:16:30,440 --> 00:16:33,160 Speaker 3: commonly called seed oils. A lot of your listeners might 277 00:16:33,160 --> 00:16:35,360 Speaker 3: know them as vegetable oils because that's how they're labeled 278 00:16:35,360 --> 00:16:41,360 Speaker 3: on the packs. So this is canola, sunflower oil, soybean oil, 279 00:16:41,720 --> 00:16:45,840 Speaker 3: cottonseed oil, grape seed oil, rice brand oil, all those 280 00:16:45,880 --> 00:16:48,840 Speaker 3: sorts of things. They're very very high in something called 281 00:16:48,840 --> 00:16:53,520 Speaker 3: amega six fats. And I've said for a while and 282 00:16:53,600 --> 00:16:57,120 Speaker 3: many other people have too, our bodies aren't built for 283 00:16:57,160 --> 00:16:59,480 Speaker 3: that level of amiga six fats. Omega six is are 284 00:16:59,520 --> 00:17:03,400 Speaker 3: the pro inflammatory fats, so amiga three people often know 285 00:17:03,480 --> 00:17:06,720 Speaker 3: amiga three fish oils and so on as being anti inflammatory. Well, 286 00:17:06,760 --> 00:17:09,560 Speaker 3: the anti inflammatory that the omiga three is fighting is 287 00:17:09,600 --> 00:17:14,159 Speaker 3: the information caused by the amega six So we have 288 00:17:14,240 --> 00:17:16,240 Speaker 3: a lot of these in our diet now. All the 289 00:17:16,280 --> 00:17:18,879 Speaker 3: fast food restaurants, I mean McDonald's in Australia switched in 290 00:17:18,880 --> 00:17:22,080 Speaker 3: two thousand and four from animal fat to these things. 291 00:17:22,320 --> 00:17:25,320 Speaker 3: I think they use canola. All the rest of them followed, 292 00:17:25,480 --> 00:17:27,679 Speaker 3: and the last I think to faur was KFC in 293 00:17:27,760 --> 00:17:32,760 Speaker 3: twenty twelve when they switched over to canola from their 294 00:17:32,840 --> 00:17:34,680 Speaker 3: palm oil I think is what they were using, which 295 00:17:34,720 --> 00:17:40,160 Speaker 3: is fine. So it's now everywhere anything fried in anything 296 00:17:40,280 --> 00:17:42,680 Speaker 3: is fried in these oils. If you look at the 297 00:17:42,720 --> 00:17:45,400 Speaker 3: fat on the label of any food on a supermarket shelf, 298 00:17:45,440 --> 00:17:47,080 Speaker 3: it's going to be one of these oils, often just 299 00:17:47,080 --> 00:17:49,479 Speaker 3: ascribed as vegetable oil that an't too exactly what it is, 300 00:17:49,480 --> 00:17:53,320 Speaker 3: but it is now getting to the point. I know 301 00:17:53,400 --> 00:17:55,639 Speaker 3: you're desperate for me to eventually find a point in 302 00:17:55,680 --> 00:18:00,199 Speaker 3: all of this. This study is the interesting thing. It 303 00:18:01,280 --> 00:18:05,200 Speaker 3: This study nails it what they did was they analyzed 304 00:18:05,720 --> 00:18:10,600 Speaker 3: colon cancer. So they analyzed the tunas the tuners, no 305 00:18:11,040 --> 00:18:16,639 Speaker 3: fish were involved. They analyzed the tumors of sufferers of 306 00:18:16,640 --> 00:18:21,520 Speaker 3: colon cancer and they found excessive quantities of amiga six fats, 307 00:18:22,440 --> 00:18:25,920 Speaker 3: and they also found a mechanism to explain it. They 308 00:18:25,960 --> 00:18:29,879 Speaker 3: found that the Omega six fats encouraged the tumor growth 309 00:18:30,320 --> 00:18:36,160 Speaker 3: and suppressed the anti anti tumor activity that the body 310 00:18:36,440 --> 00:18:37,120 Speaker 3: naturally had. 311 00:18:37,760 --> 00:18:41,520 Speaker 1: Okay, hit the brakes, just say that. I know what 312 00:18:41,560 --> 00:18:44,160 Speaker 1: you said, but just say that last bit again. What 313 00:18:44,200 --> 00:18:44,919 Speaker 1: did they find. 314 00:18:45,400 --> 00:18:50,280 Speaker 3: They found that the Amiga six fats in these tumors 315 00:18:51,119 --> 00:18:56,400 Speaker 3: encouraged the tumor growth and suppressed the body's natural defenses 316 00:18:56,440 --> 00:19:01,960 Speaker 3: against it back. And the reason this is important is 317 00:19:02,000 --> 00:19:07,240 Speaker 3: if you look at the statistics on colorectal cancer or 318 00:19:07,320 --> 00:19:10,800 Speaker 3: colon cancer, whatever you want to call it, colorectal cancer 319 00:19:12,080 --> 00:19:14,960 Speaker 3: in the United States and in Australia, it's now the 320 00:19:15,000 --> 00:19:21,199 Speaker 3: second biggest killer, second biggest killer behind lung cancer, by 321 00:19:21,240 --> 00:19:23,600 Speaker 3: the way, which we can talk about another day, which 322 00:19:23,640 --> 00:19:26,280 Speaker 3: is an interesting one all on its own because nobody 323 00:19:26,280 --> 00:19:28,879 Speaker 3: smokes anymore. But we'll come back to that one. But 324 00:19:29,440 --> 00:19:32,399 Speaker 3: this is now the second biggest killer, and if you 325 00:19:32,480 --> 00:19:36,879 Speaker 3: look at people under the age of fifty, it is 326 00:19:37,040 --> 00:19:43,120 Speaker 3: growing exponentially and there is no explanation for this from 327 00:19:43,119 --> 00:19:45,880 Speaker 3: the scientific consensus. So if you look at the Australian 328 00:19:45,920 --> 00:19:50,560 Speaker 3: statistics and look at people under forty in Australia in 329 00:19:50,640 --> 00:19:53,919 Speaker 3: nineteen eighty two, there are eleven point seven people per 330 00:19:54,080 --> 00:19:57,800 Speaker 3: hundred thousand. Now sorry, there were three point seven people 331 00:19:57,800 --> 00:19:59,920 Speaker 3: one hundred thousand. Now there are eleven point seven per 332 00:20:00,040 --> 00:20:06,120 Speaker 3: hundred thousand. So it is tripled in that period of time. Now, 333 00:20:06,160 --> 00:20:10,200 Speaker 3: for anything to triple, I mean we want it going backwards. 334 00:20:10,440 --> 00:20:13,000 Speaker 3: I mean we got flat to backwards is what we're 335 00:20:13,040 --> 00:20:17,879 Speaker 3: aiming for here. With cancer tripled in people under forty 336 00:20:18,920 --> 00:20:25,000 Speaker 3: is terrible, absolutely terrible, and that the scientific community has 337 00:20:25,040 --> 00:20:29,600 Speaker 3: no explanation for that is even worse. These guys have 338 00:20:29,720 --> 00:20:32,919 Speaker 3: found an explanation. It's an explanation that's been there for 339 00:20:32,960 --> 00:20:35,480 Speaker 3: a while in books like the ones I wrote, and 340 00:20:35,800 --> 00:20:38,600 Speaker 3: other people are speculated about it and said, hang on, 341 00:20:38,960 --> 00:20:42,719 Speaker 3: why are cancers that are anywhere along the digestive tracked 342 00:20:44,400 --> 00:20:49,080 Speaker 3: going bananas in younger people because it's not just colorect 343 00:20:49,160 --> 00:20:52,600 Speaker 3: or this thyroid cancer, et cetera. Et cetera. And I 344 00:20:52,680 --> 00:20:56,920 Speaker 3: have connected dots and others have too and said it's 345 00:20:56,920 --> 00:21:00,280 Speaker 3: the Amiga six fats. We've introduced massive quantit it is 346 00:21:00,320 --> 00:21:03,840 Speaker 3: of them into our diet. They are pro cancer elements. 347 00:21:04,480 --> 00:21:07,760 Speaker 3: That's what's causing this. This study puts a pin in 348 00:21:07,800 --> 00:21:10,960 Speaker 3: it and says, actually we think it might. 349 00:21:12,080 --> 00:21:15,000 Speaker 1: All right, I just want to Okay, great, So now 350 00:21:15,119 --> 00:21:18,360 Speaker 1: some people are listening to this and they're a bit terrified, 351 00:21:18,400 --> 00:21:21,600 Speaker 1: which is not the worst thing. So just while we're 352 00:21:21,640 --> 00:21:26,760 Speaker 1: in this moment of improved awareness around this, and again, 353 00:21:26,920 --> 00:21:29,439 Speaker 1: remember everyone, this is just people talking. This is not 354 00:21:29,480 --> 00:21:33,720 Speaker 1: a prescription. But just tell people. I know we've done 355 00:21:33,720 --> 00:21:36,120 Speaker 1: it a few times, but there'll be people who've never 356 00:21:36,320 --> 00:21:38,280 Speaker 1: heard of you and this will be their first time 357 00:21:38,320 --> 00:21:41,920 Speaker 1: with you. And there'll be people who have heard this 358 00:21:42,000 --> 00:21:47,520 Speaker 1: list before, but forget it. So what is on the acceptable, 359 00:21:47,680 --> 00:21:51,600 Speaker 1: what's on the David Gillespie yes list in terms of oils, 360 00:21:51,680 --> 00:21:53,320 Speaker 1: and what's on the no list? 361 00:21:53,520 --> 00:21:56,960 Speaker 3: Okay, So what we're aiming for here is you need 362 00:21:57,000 --> 00:21:59,560 Speaker 3: fat in your diet. No fat, no diet, right, so 363 00:21:59,600 --> 00:22:02,000 Speaker 3: you need to adding your diet. But what you want 364 00:22:02,040 --> 00:22:05,320 Speaker 3: to aim for is fats that are very, very low 365 00:22:05,359 --> 00:22:08,960 Speaker 3: in these Amiga six fats. So now they come from 366 00:22:08,960 --> 00:22:13,400 Speaker 3: one place, which is plants. In the modern industrial diet, 367 00:22:13,560 --> 00:22:17,160 Speaker 3: they come from things labeled as vegetable oils. No vegetables 368 00:22:17,160 --> 00:22:20,480 Speaker 3: were harmed in their construction. They actually come from seeds. 369 00:22:21,040 --> 00:22:24,119 Speaker 3: So the things you want to avoid are fats that 370 00:22:24,160 --> 00:22:32,240 Speaker 3: come from seeds. So we're talking about canola, sunflour, grape seed, 371 00:22:32,720 --> 00:22:36,760 Speaker 3: rice brand, a lot of the nut based ones like 372 00:22:36,800 --> 00:22:40,719 Speaker 3: almonds and so on. Those are things that you've got 373 00:22:40,760 --> 00:22:43,159 Speaker 3: to avoid because they in general tend to be high 374 00:22:43,200 --> 00:22:44,320 Speaker 3: in Amiga six fats. 375 00:22:44,880 --> 00:22:49,000 Speaker 1: What about whole almonds versus just because somebody on the 376 00:22:49,040 --> 00:22:50,760 Speaker 1: call eats almonds every day. 377 00:22:51,800 --> 00:22:54,240 Speaker 3: Whole almonds are okay, You've just got to be careful 378 00:22:54,280 --> 00:22:57,359 Speaker 3: how many you eat. And I published a table in 379 00:22:57,359 --> 00:23:00,240 Speaker 3: one of my books that actually calculated how many could 380 00:23:00,240 --> 00:23:03,320 Speaker 3: eat and not exceed the allowance of Amiga six fats. 381 00:23:03,600 --> 00:23:05,159 Speaker 3: I'll shoot it through you after the show and you 382 00:23:05,160 --> 00:23:08,359 Speaker 3: can put it up if you want, but it's I 383 00:23:08,400 --> 00:23:12,520 Speaker 3: can't remember what the number was for almonds, but all 384 00:23:12,560 --> 00:23:14,760 Speaker 3: of them were sort of reasonable numbers. You could eat 385 00:23:14,840 --> 00:23:16,960 Speaker 3: reasonable numbers as long as you know they weren't the 386 00:23:16,960 --> 00:23:20,640 Speaker 3: primary constituent of your meal every day, then you're probably 387 00:23:20,680 --> 00:23:23,119 Speaker 3: okay because you're eating a lot of other stuff besides 388 00:23:23,160 --> 00:23:26,879 Speaker 3: the fat, when you're chomping through whole armor. When you 389 00:23:26,960 --> 00:23:28,679 Speaker 3: grind them, when you grind them up and use them 390 00:23:28,680 --> 00:23:31,159 Speaker 3: as flour and everything you cork, or when you turn 391 00:23:31,200 --> 00:23:34,160 Speaker 3: them into a paste and spread them in on everything, 392 00:23:34,480 --> 00:23:40,240 Speaker 3: then that's a different thing altogether. So I'll send you that, but. 393 00:23:42,320 --> 00:23:45,120 Speaker 1: Just quick, sorry, just quickly, because I try to think, 394 00:23:45,200 --> 00:23:46,920 Speaker 1: if I'm a listener, what do I want to ask? 395 00:23:47,400 --> 00:23:52,680 Speaker 1: So I'm guessing regular peanut butter, I mean regular peanut 396 00:23:52,680 --> 00:23:56,320 Speaker 1: butter off the shelf at Safeway and more worse, doesn't 397 00:23:56,359 --> 00:23:56,960 Speaker 1: get the tick. 398 00:23:57,880 --> 00:24:00,879 Speaker 3: It depends a lot on the brand, is what I found. 399 00:24:01,000 --> 00:24:03,280 Speaker 3: Like when you actually do the analysis of the data 400 00:24:03,320 --> 00:24:05,600 Speaker 3: they are forced to put on the label, and I 401 00:24:05,680 --> 00:24:09,000 Speaker 3: have done that, it really depends a lot on the brand. 402 00:24:09,640 --> 00:24:14,520 Speaker 3: So some brands are okay, others are not. And it's 403 00:24:14,560 --> 00:24:18,680 Speaker 3: because many of them don't use actual peanuts. They use 404 00:24:20,520 --> 00:24:22,359 Speaker 3: I don't know what the term they use for it is, 405 00:24:22,359 --> 00:24:26,280 Speaker 3: but basically deconstituted peanut powder and then they reconstitute it 406 00:24:26,280 --> 00:24:31,439 Speaker 3: with other fats. So if you careful, if you have 407 00:24:31,480 --> 00:24:33,159 Speaker 3: a look at the label and it just says the 408 00:24:33,280 --> 00:24:37,280 Speaker 3: ingredients are peanuts. You're probably good, but have a close 409 00:24:37,320 --> 00:24:39,640 Speaker 3: look at the label. Don't make assumptions about what these 410 00:24:39,640 --> 00:24:41,760 Speaker 3: things are made out of. Just because I said peanuts 411 00:24:41,760 --> 00:24:44,199 Speaker 3: on the front doesn't mean that's what it's made of. 412 00:24:45,200 --> 00:24:52,080 Speaker 3: So yeah, look, be careful with peanuts. Their borderline. Things 413 00:24:52,119 --> 00:24:53,720 Speaker 3: that aren't borderline. 414 00:24:54,119 --> 00:24:57,080 Speaker 1: Tell us what okay on the to do that on 415 00:24:57,119 --> 00:25:00,879 Speaker 1: the the okay list. So we know, butter, think lard, 416 00:25:01,200 --> 00:25:02,000 Speaker 1: I think. 417 00:25:02,119 --> 00:25:04,960 Speaker 3: Anything from an animal. So all animal fats are fine. 418 00:25:05,080 --> 00:25:10,000 Speaker 3: So but lard, tallow, rendered, beef, rendered, you know, an 419 00:25:10,480 --> 00:25:11,800 Speaker 3: All animal fats are fine. 420 00:25:12,359 --> 00:25:14,800 Speaker 1: What about the what about the crackling that I'm going 421 00:25:14,880 --> 00:25:18,880 Speaker 1: to eat off the pig at chrissy. 422 00:25:17,920 --> 00:25:21,679 Speaker 3: Yeah, look it's it's it's okay. Pig fat is a 423 00:25:21,680 --> 00:25:23,800 Speaker 3: bit of a problem in Australia because I think it's 424 00:25:23,800 --> 00:25:30,040 Speaker 3: around ninety percent of our peaks are raised in you know, 425 00:25:30,160 --> 00:25:34,680 Speaker 3: industrial form, not on they're not free range, and and 426 00:25:35,320 --> 00:25:38,200 Speaker 3: those ones have fed a lot of grain, and because 427 00:25:38,200 --> 00:25:42,080 Speaker 3: they're omnivores, that grain contains a lot of Amiga six 428 00:25:42,119 --> 00:25:43,960 Speaker 3: and it ends up in their fat as a Mega 429 00:25:44,000 --> 00:25:48,440 Speaker 3: six fat. So so this is the only point where 430 00:25:48,480 --> 00:25:51,000 Speaker 3: I agree with standard Heart Foundation advice, which is, if 431 00:25:51,000 --> 00:25:54,040 Speaker 3: you're going to eat pig like in bacon or pork 432 00:25:54,080 --> 00:25:57,200 Speaker 3: of any description, trimm it, take the fat off because 433 00:25:57,240 --> 00:26:00,680 Speaker 3: that fat, if it's you know, if it's farm, if 434 00:26:00,680 --> 00:26:03,880 Speaker 3: it's not free range, that fat probably contains a large 435 00:26:03,880 --> 00:26:08,160 Speaker 3: amount of a Mega six fat. And in Australia, if 436 00:26:08,160 --> 00:26:11,720 Speaker 3: it doesn't explicitly say it's free range, it's not, because 437 00:26:11,800 --> 00:26:16,320 Speaker 3: most pork in Australia is not free range. Pigs, by 438 00:26:16,359 --> 00:26:19,399 Speaker 3: the way, if left to their own devices, don't eat grain. 439 00:26:21,320 --> 00:26:23,119 Speaker 3: They roam around, they eat a lot of things, but 440 00:26:23,160 --> 00:26:26,280 Speaker 3: they don't go and choose to eat grain. But far 441 00:26:26,520 --> 00:26:29,320 Speaker 3: you know, the battery pigs or whatever they're called, they're 442 00:26:29,359 --> 00:26:34,760 Speaker 3: given a lot of grain. So to be avoided eat 443 00:26:34,800 --> 00:26:37,280 Speaker 3: still eat the pork, chop the fat off, and if 444 00:26:37,320 --> 00:26:39,360 Speaker 3: you're going to eat crackling, do it once a year, 445 00:26:39,400 --> 00:26:44,200 Speaker 3: I would have thought is probably reasonable advice. But coming 446 00:26:44,240 --> 00:26:46,720 Speaker 3: back so, animal fats in general though, are pretty good 447 00:26:47,080 --> 00:26:49,320 Speaker 3: any kind of beef milk, but anything from a cow 448 00:26:49,440 --> 00:26:51,959 Speaker 3: is going to be good because ruminants like cows and 449 00:26:51,960 --> 00:26:55,760 Speaker 3: goats and sheep actually don't store a mega six fats 450 00:26:55,760 --> 00:26:57,760 Speaker 3: in any serious quantity, so you don't even have to 451 00:26:57,760 --> 00:27:01,480 Speaker 3: worry about the fat on those animals. No matter how 452 00:27:01,560 --> 00:27:03,480 Speaker 3: much people might tell you you've got to have you know, 453 00:27:03,920 --> 00:27:06,280 Speaker 3: fast raised or you know, all that sort of nonsense, 454 00:27:06,280 --> 00:27:10,240 Speaker 3: it doesn't really matter with ruminants. Now, if we talk 455 00:27:10,280 --> 00:27:12,760 Speaker 3: about people say, oh, yeah, great, but I'm a vegan 456 00:27:12,880 --> 00:27:14,680 Speaker 3: or a vegetarian and I don't I can't eat all 457 00:27:14,680 --> 00:27:17,920 Speaker 3: that stuff. What can I eat? The answer is there 458 00:27:17,960 --> 00:27:21,680 Speaker 3: are some that feed into there. So there's a couple 459 00:27:21,720 --> 00:27:24,760 Speaker 3: of fats that mimic the fat profile of animal fat, 460 00:27:24,840 --> 00:27:31,080 Speaker 3: soalm oil, coconut oil, and they're they're they're fine. They 461 00:27:31,200 --> 00:27:34,080 Speaker 3: actually look when you're doing an analysis of them, they 462 00:27:34,080 --> 00:27:36,600 Speaker 3: have rough for the same analysis as animal fat. No 463 00:27:36,680 --> 00:27:39,879 Speaker 3: concern with those. There's an in between category which I 464 00:27:39,920 --> 00:27:42,359 Speaker 3: call fruit oils, which are also I would say fine 465 00:27:42,440 --> 00:27:44,720 Speaker 3: as long as you're not eating vast quantities of them. 466 00:27:44,760 --> 00:27:47,560 Speaker 3: So these are fruit oil. So this is olive oil, 467 00:27:48,320 --> 00:27:51,520 Speaker 3: for example, is a fruit oil. Avocado oil is another 468 00:27:51,520 --> 00:27:55,560 Speaker 3: fruit oil. And there's one nut oil which is absolutely 469 00:27:55,600 --> 00:28:00,960 Speaker 3: fine for some reason, macadamia nut oil, which has a 470 00:28:00,960 --> 00:28:03,480 Speaker 3: fat profile very very similar to animal fat. 471 00:28:04,160 --> 00:28:07,159 Speaker 1: Now, Tiff, I'm guessing from the screwed up look on 472 00:28:07,200 --> 00:28:09,520 Speaker 1: your face. There's not going to be a lot of 473 00:28:09,560 --> 00:28:12,600 Speaker 1: pork crackling going down your gob over the next week. 474 00:28:13,400 --> 00:28:16,040 Speaker 2: Definitely not. And I feel sad for the little peace. 475 00:28:17,320 --> 00:28:20,000 Speaker 2: It made me feel sad thinking of the poor little bites. 476 00:28:20,200 --> 00:28:22,919 Speaker 1: It's just that is. It is sad. That is the 477 00:28:24,200 --> 00:28:27,320 Speaker 1: That is how a lot of farming works there is. 478 00:28:27,480 --> 00:28:30,320 Speaker 1: It is not a I don't want to be a downer, 479 00:28:30,359 --> 00:28:36,520 Speaker 1: but yeah, it's not a great existence. What okay, you 480 00:28:36,560 --> 00:28:39,240 Speaker 1: know what's interesting, David? I mean, all of this is fascinating, 481 00:28:39,280 --> 00:28:43,960 Speaker 1: but like it's literally it's literally been flipped. Like we 482 00:28:44,200 --> 00:28:47,880 Speaker 1: the last twenty years, we've been told, you know, time 483 00:28:47,920 --> 00:28:51,880 Speaker 1: and time and time again, no animal fats, like avoid 484 00:28:52,040 --> 00:28:55,680 Speaker 1: animal fats like that. It's like that's what's going to 485 00:28:55,800 --> 00:28:59,320 Speaker 1: kill you, animal fats, and you're going, no, fuck that. 486 00:28:59,760 --> 00:29:02,160 Speaker 1: There the ones that are going to say, like, it's 487 00:29:02,200 --> 00:29:06,680 Speaker 1: not only is it have we been misinformed? We've been 488 00:29:07,560 --> 00:29:10,520 Speaker 1: you know, if you're accurate and these people are accurate, 489 00:29:10,560 --> 00:29:13,160 Speaker 1: which I believe you are and they are, is just 490 00:29:13,240 --> 00:29:18,800 Speaker 1: my thoughts. Everyone, then we've actually been told the opposite 491 00:29:18,840 --> 00:29:19,760 Speaker 1: of what is true. 492 00:29:20,360 --> 00:29:23,600 Speaker 3: Yeah, And thinking about the time frame it was in 493 00:29:23,640 --> 00:29:26,600 Speaker 3: the early eighties that they started telling us that. Yeah, 494 00:29:26,640 --> 00:29:30,760 Speaker 3: and from that point these statistics have gone crazy on 495 00:29:31,240 --> 00:29:36,000 Speaker 3: cancer incidents. So and it's all well and good. You know, 496 00:29:36,040 --> 00:29:39,120 Speaker 3: people will say, oh, correlation does an equal causation. You 497 00:29:39,120 --> 00:29:42,400 Speaker 3: don't know what you're talking about, Gillespie. Sure, But then 498 00:29:42,480 --> 00:29:46,800 Speaker 3: you see studies like this starting to hit the press saying, actually, 499 00:29:46,840 --> 00:29:49,080 Speaker 3: we've done the digging, we've done the analysis, and it 500 00:29:49,080 --> 00:29:53,040 Speaker 3: looks like this could be true. You know that to me, 501 00:29:53,280 --> 00:29:56,920 Speaker 3: says Okay, now you really do need to step back, 502 00:29:57,400 --> 00:30:00,920 Speaker 3: because now it's not just a theory, it's being shown 503 00:30:01,160 --> 00:30:03,320 Speaker 3: to be implicated in the development of cancer. 504 00:30:03,920 --> 00:30:09,440 Speaker 1: Mm hmmm mmm yeah. Tip you eat. You're a carnival, 505 00:30:09,480 --> 00:30:09,960 Speaker 1: aren't you. 506 00:30:10,880 --> 00:30:15,200 Speaker 2: I'm omnivore. Yeah, yeah, I do love a steak. And 507 00:30:15,280 --> 00:30:19,200 Speaker 2: you know what, I really love Christmas ham. 508 00:30:19,360 --> 00:30:21,320 Speaker 3: You know that comes from little piggies too. 509 00:30:21,680 --> 00:30:24,600 Speaker 2: Know what a dichotomy? 510 00:30:25,000 --> 00:30:29,040 Speaker 1: Well, listen to you, which do you feel a little bit? 511 00:30:29,600 --> 00:30:32,360 Speaker 1: I'm not trying to I just I feel like you 512 00:30:32,440 --> 00:30:35,160 Speaker 1: must be a little bit conflicted because you're such an 513 00:30:35,200 --> 00:30:35,800 Speaker 1: animal lover. 514 00:30:36,160 --> 00:30:37,600 Speaker 3: It does it? Does? 515 00:30:37,880 --> 00:30:40,160 Speaker 2: I feel like if I did go down the rabbit hole, 516 00:30:40,680 --> 00:30:43,320 Speaker 2: it would affect Someone was talking about cooking duck the 517 00:30:43,360 --> 00:30:46,720 Speaker 2: other day, and I was in my mind assessing my 518 00:30:46,840 --> 00:30:50,480 Speaker 2: difference with thinking of a little ducky how cool of ducks? 519 00:30:50,480 --> 00:30:53,640 Speaker 2: I was like, oh, you can't make a duck stew. 520 00:30:54,080 --> 00:30:56,920 Speaker 2: Leave them alone, And then I think about the poor chickens. 521 00:30:57,880 --> 00:31:01,040 Speaker 1: You know what's funny is how we anthropomorph animals and 522 00:31:01,080 --> 00:31:06,080 Speaker 1: we we rationalize. It's like we can rationalize eating tuna, 523 00:31:06,800 --> 00:31:09,600 Speaker 1: which is a thing that swims around the ocean. But 524 00:31:09,840 --> 00:31:13,000 Speaker 1: imagine if I said, you know, I'm having dolphin for dinner, 525 00:31:13,080 --> 00:31:16,400 Speaker 1: people would be like fucking hysterical. You go, well, it's 526 00:31:16,480 --> 00:31:20,160 Speaker 1: just another thing in the ocean, and yeah, I know, 527 00:31:20,240 --> 00:31:23,240 Speaker 1: but it's cute and smart and so all right, so 528 00:31:23,320 --> 00:31:25,440 Speaker 1: if it's ugly and dumb, we can eat it. But 529 00:31:25,480 --> 00:31:28,600 Speaker 1: if it's cute and smart, you know. And I'm not 530 00:31:28,640 --> 00:31:31,440 Speaker 1: recommending anything, but it is just funny the stories that 531 00:31:31,480 --> 00:31:34,200 Speaker 1: we like. Whatever we do, we rationalize it. 532 00:31:34,480 --> 00:31:36,760 Speaker 3: Well, no one ever made a show about a tuna 533 00:31:36,800 --> 00:31:38,840 Speaker 3: called Flipper or something exactly. 534 00:31:38,880 --> 00:31:44,240 Speaker 1: That's my point. That's my You know, there is a 535 00:31:44,280 --> 00:31:49,520 Speaker 1: book this I think it was called Tubby Tubby Tuna. 536 00:31:50,240 --> 00:31:53,400 Speaker 1: Oh no, maybe I'm wrong, I do. I think there was, 537 00:31:54,040 --> 00:31:57,200 Speaker 1: but yeah, you're right. It's like, do you know that 538 00:31:57,400 --> 00:32:01,960 Speaker 1: that people overseas are horror fired that Australians eat kangaroo? 539 00:32:02,640 --> 00:32:05,320 Speaker 3: Yeah? Absolutely, Look I lived in Germany for a little 540 00:32:05,360 --> 00:32:09,000 Speaker 3: while and they were really horrified at the thought that 541 00:32:09,040 --> 00:32:12,280 Speaker 3: we would and that we had to cull them, and 542 00:32:12,400 --> 00:32:14,960 Speaker 3: so even worse than eating them was killing them and 543 00:32:15,000 --> 00:32:20,680 Speaker 3: not eating them. Yeah. No, they're very horrified because they're 544 00:32:20,720 --> 00:32:21,160 Speaker 3: so cute. 545 00:32:21,840 --> 00:32:25,760 Speaker 1: Yeah, exactly. We were going to do more, but we're 546 00:32:25,760 --> 00:32:27,280 Speaker 1: going to let you off the hook because that was 547 00:32:27,280 --> 00:32:29,160 Speaker 1: a solidivity minutes and. 548 00:32:30,880 --> 00:32:33,040 Speaker 3: As always, banging on forever about things. 549 00:32:33,520 --> 00:32:35,680 Speaker 1: Always good mate. I've got a question or two to 550 00:32:35,720 --> 00:32:37,960 Speaker 1: ask you off air, so stick around, but for now, mate, 551 00:32:38,040 --> 00:32:42,120 Speaker 1: we we appreciate you. Thank you so much for everything 552 00:32:42,160 --> 00:32:44,280 Speaker 1: you do. I know that I don't know if you 553 00:32:44,360 --> 00:32:45,920 Speaker 1: enjoy it or not. I think you do a little bit. 554 00:32:45,960 --> 00:32:47,280 Speaker 3: Wouldn't do it if I didn't. 555 00:32:47,680 --> 00:32:50,040 Speaker 1: I think you tolerate it more than celebrate it. But 556 00:32:50,400 --> 00:32:54,040 Speaker 1: you just feel sorry for me and Tiff. Thanks mate, 557 00:32:54,080 --> 00:32:56,560 Speaker 1: We appreciate you. Thanks for everything that you've done this year, 558 00:32:56,600 --> 00:32:59,240 Speaker 1: and maybe I have a great Chrissy with the fam 559 00:32:59,320 --> 00:33:00,000 Speaker 1: and a great new year. 560 00:33:00,080 --> 00:33:01,800 Speaker 3: Yeah, same to you guys. 561 00:33:02,680 --> 00:33:06,920 Speaker 1: Thanks mate, thanks DEEV, Thanks Boys, no talk for you.